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KREA2 LoKR training: 3 images sufficient for likeness, 15 for style versatility

A user on Reddit explored the impact of dataset size on training KREA2 LoKRs, finding that a good likeness can be achieved with as few as three images. However, for retaining the subject's likeness across various styles and challenging angles, a larger dataset of up to 15 images proved more effective. The experiment suggests that while small datasets are sufficient for basic likeness, more data is beneficial for versatility and robustness in AI image generation. AI

IMPACT Demonstrates that smaller datasets can yield good results for specific AI model training tasks, potentially reducing computational costs and training time.

RANK_REASON User-conducted experiment on dataset size for AI model training. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/StableDiffusion →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

KREA2 LoKR training: 3 images sufficient for likeness, 15 for style versatility

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6 / 100
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User-conducted experiment on dataset size for AI model training. [lever_c_demoted from research: ic=1 ai=1.0]
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High
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COVERAGE [1]

  1. r/StableDiffusion TIER_2 English(EN) · /u/SirToki ·

    I tried different dataset sizes on KREA2, to try to answer the age-old question, how many images do you need?

    <table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1xfxuyr/i_tried_different_dataset_sizes_on_krea2_to_try/"> <img alt="I tried different dataset sizes on KREA2, to try to answer the age-old question, how many images do you need?" src="https://preview.red…